Data Architect - Remote

Data Architect - Remote offers the following:

• Full Benefits
• Medical
• Dental
• Vision
• 401K match
• 29 PTO Days including company holidays

The Data Architect will be responsible for the research, evaluation and design of data infrastructure solutions that support our business intelligence and analytics needs. They will leverage their expertise to create scalable, efficient, compliant, and secure data architectures as well as assisting in the delivery of the solution. This role requires a strong understanding of data warehouse architecture, data management, ETL, and visualization.

KEY RESPONSIBILITIES:

• Facilitate meaningful organizational change by researching data and business intelligence technologies and defining technical strategies across portfolios; supporting an ability to reduce costs, increase efficiencies, provide more value and capabilities, reduce risks, and increase security; support the build of data and Integration reference architectures and patterns.
• Conduct research and participate in the development of data and visualization roadmaps, which may include product selection, versions, upgrades, projects, and milestones.
• Communicate data, ETL, BI and analytic best practices by giving presentations and authoring content aimed at educating others about standards, strategies, and defined best practices.
• Assist in the evaluation of business demands in the early stages of projects to determine what data and business intelligence software, technologies, architectures, and patterns should be employed to meet business objectives efficiently; conduct evaluation of technology which may require a single solution or matrixed evaluation of multiple solutions through research, proof of concept, or scoped testing.
• Provide solution level technical design and architectural leadership, including documenting and diagramming logical, physical, and process views across multiple technology domains
• Collaborate with project teams to assist in delivery of solution implementation by providing guidance as needed to application, engineering, and operations teams.

EDUCATION:

• Bachelor's degree or higher from an accredited college/university is preferred

EXPERIENCE:

• Minimum eight years of recent experience in information technology data and business intelligence architecture and modeling supporting a SaaS and platform centric strategy and implementation cycle with the ability to integrate in support of an enterprise.
• Strong understanding of Database Design Principles, Data Modeling and Data Warehousing including experience with SQL and NoSQL databases, Big Data technologies, industry leading Cloud Storage solutions, Business Intelligence platforms, dashboards, data mining and visualization tools (i.e. Power BI).
• Ability to effectively develop presentations and present ideas and proposals to all levels of management and technical expertise.
• Deep knowledge of commonly used Enterprise Data Lake/Lakehouse and associated Integration tools (Azure Data Lake).
• Deep understanding of data integration architectures, including development and maintenance of API and Event standards, Data Architecture standards, ETL Integration standards, and Governance Frameworks for managing a large and complex data portfolio.
• Proven ability to establish and manage a comprehensive data warehouse and analytics architecture blueprint and roadmap for a global organization.
• Proven ability to successfully implement data and ETL architectures into a complex organization including connecting on-premises and cloud-based applications globally (ERP, CMDB, CRM, CMS and more).
• Strong ability to guide and mentor project teams on data and business intelligence technology, architecture, modeling, and best practices.
• Familiarity with common data integration methods and technologies including web services, micro services, SOAP, REST, JSON, API gateways, MQ message and other technologies.
• Strong ability to work with large datasets, including high proficiency in data mining and predictive modeling, with the capability to provide meaningful business insights and align data and business intelligence architectures with business goals.

PHYSICAL DEMANDS:

• Ability to travel to various company locations if required
• Regularly spend long hours sitting and using office equipment and computers
• Regularly move from sitting to standing positions effortlessly
• Regularly use hands and fingers to handle, control or feel objects
• Regularly see details of objects that are less than a few feet away
• Regularly speak clearly so listeners can understand
• Regularly understand the speech of another person
• Frequently work on projects that require deadlines
• Ability to lift and carry up to 25 pounds

EXPECTED HOURS OF WORK: Business hours are Monday through Friday 8:00 AM to 5:00 PM. However, required work hours may vary depending on business needs. Overtime is possible